Aleena Farooq Email & Phone Number

Lahore, PK

United States

• Driver Performance Event Detection:
• Led a cross-functional team in the design and implementation of a risky driving behavior algorithm, achieving a precision rate exceeding 99.5% and a 100% recall for ground truth data. Utilized Python and C for.
• Conducted in-depth analysis of large volumes of sensor data (Pyspark, Snowflake, and Redash). Enhanced data quality by leveraging various smoothing techniques, and evaluating the algorithm performance downstream.
• Formulated a comprehensive strategy for data annotation and established metrics to effectively benchmark algorithms.
• Collaborated with multiple teams to build and rollout an end-to-end pipeline, and effectively communicated the algorithm's logic and impact, setting clear expectations across the organization.Collision Detection:
• Led a team to train and deploy an ensemble model for detection of collisions in real-time from telematics data, achieving over 90% recall for high-severity collisions. Earned recognition by winning a company-wide.

Pakistan

• Call Transcription Analytics Engine
• Leading a group of 10 people through automating the process of call quality assurance (Python, Pandas, MySQL, Docker)
• Producing ~5x coverage of call volume and ~10x efficiency per call evaluation, using the automated ML pipeline
• Gathering requirements and identifying gaps, by mediating between the client(Call Centre Agents) and development team
• Employing Conversational AI and NLP, using rule based techniques and deep learning models on unstructured text data (Sklearn, TensorFlow, Keras, PyTorch)
• Using dialogue state tracking for slot labeling and maintaining belief states across conversations

Pakistan

• Fraud Detection Engine
• Developed and deployed, from scratch, a complete configurable pipeline for financial fraud detection using machine learning and distributed computing tools (Python, Apache Spark, Scala, Hadoop, Docker)
• Processed data for ~40 million transactions, achieving ~5x improvement in diagnostic odd ratio
• Performed exploratory analysis on Big Data (Time Series) to extract insights for engineering new features (Informix, PostgreSQL, Greenplum, MySQL)
• Applied multiple ensemble modeling techniques for supervised learning (Gradient Boosted Trees, Random Forest, LSTM, XGBoost using Pyspark, ML, MLlib)
• Incorporated unsupervised learning to detect anomalies in cardholder behavior and identifying spending patterns (Clustering, Histogram Based Outlier Score)

Pakistan

• Trained and facilitated students from diverse professional/academic backgrounds to get acquainted with Data Science concepts
• Familiarized students with data science starter toolkit (Python, Jupyter Notebooks) along with libraries for data handling and machine learning algorithms, concluding with a ML project for evaluation

Lahore, Punjab, Pakistan

• Course: Artificial Intelligence(CS401)
• Graded and evaluated a class of up to 50 students
• Conducted interactive learning sessions

Webify.io - a DIY, code-free website builder that allows anyone to set up a mobile optimized web presence in under 30 minutesDesigned and integrated a database conforming to the requirements of the project

Bachelor Of Computer Science - Bscs, Computer Science

Activities and Societies: NUCES-ACM, IEEE Students Chapter, Softec

Ics, Mathematics, Physics And Computer Science